Date of Award


Document Type

Masters Thesis

Degree Name


Organizational Unit

College of Arts Humanities and Social Sciences, Lamont School of Music

First Advisor

Mitchell Ohriner

Second Advisor

Kristin Taavola

Third Advisor

Sean Friar


Artificial intelligence (AI), Electronic dance music (EDM), Hisaishi, Minimalism, Music, Transcription


This thesis presents research in the domains of music theory and music technology. The topics of the three chapters are as follows: (1) the technical and artistic limitations of artificial intelligence when generating music, (2) the transcription of electronic dance music (EDM) using a hybrid notation system, and (3) the effective convergence of jazz and minimalism in the music of Joe Hisaishi from Studio Ghibli. Each topic investigates a different aspect of harmony and the modern ways in which humans communicate in terms of harmony. The first chapter surveys the latest research projects in AI-generated music and proposes ideas for future applications of music generation using machine learning. The second chapter presents a hybrid notation system for the transcription of electronic dance music. The final chapter identifies progressive composition techniques embodied in the works of Japanese composer Joe Hisaishi, who borrows musical influence from around the world.

Copyright Date


Copyright Statement / License for Reuse

All Rights Reserved
All Rights Reserved.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Trevor Freed


Received from ProQuest

File Format



English (eng)


79 pgs

File Size

5.3 MB


Music theory, Music, Musical composition